AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

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Asymptotic Tracking Control for Uncertain MIMO Systems: A Biologically Inspired ESN Approach.

IEEE transactions on neural networks and learning systems
In this study, a biologically inspired echo state network (ESN)-based method is established for the asymptotic tracking control of a class of uncertain multi-input multi-output (MIMO) systems. By mimicking the characters of real biological systems, a...

Mobile Robots for In-Process Monitoring of Aircraft Systems Assemblies.

Sensors (Basel, Switzerland)
Currently, systems installed on large-scale aerospace structures are manually equipped by trained operators. To improve current methods, an automated system that ensures quality control and process adherence could be used. This work presents a mobile...

Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation.

Neural networks : the official journal of the International Neural Network Society
In this paper, an event-triggered integral reinforcement learning (IRL) algorithm is developed for the nonzero-sum game problem with asymmetric input saturation. First, for each player, a novel non-quadratic value function with a discount factor is d...

Exploring planet geology through force-feedback telemanipulation from orbit.

Science robotics
Current space exploration roadmaps envision exploring the surface geology of celestial bodies with robots for both scientific research and in situ resource utilization. In such unstructured, poorly lit, complex, and remote environments, automation is...

Closing the Control Loop with Time-Variant Embedded Soft Sensors and Recurrent Neural Networks.

Soft robotics
Embedded soft sensors can significantly impact the design and control of soft-bodied robots. Although there have been considerable advances in technology behind these novel sensing materials, their application in real-world tasks, especially in close...

Sensor Fault Diagnosis Using a Machine Fuzzy Lyapunov-Based Computed Ratio Algorithm.

Sensors (Basel, Switzerland)
Anomaly identification for internal combustion engine (ICE) sensors has become an important research area in recent years. In this work, a proposed indirect fuzzy Lyapunov-based computed ratio observer integrated with a support vector machine (SVM) w...

Performance comparison of structured based looptune and LQR for a 4-DOF robotic manipulator.

PloS one
We explore looptune, a MATLAB-based structured synthesis technique in the context of robotics. Position control of a 4 Degree of Freedom (DOF) serial robotic manipulator developed using Simulink is the problem under consideration. Three full state f...

Design and Analysis of Clothing Catwalks Taking into Account Unity's Immersive Virtual Reality in an Artificial Intelligence Environment.

Computational intelligence and neuroscience
In the context of the rapid development of AI area, VR technology is raising the public and researchers' attention. This study constructs a VR clothing catwalk based on the Unity 3D game engine in the AI background. This article focuses on the study ...

Finite-time H∞ synchronization control for coronary artery chaos system with input and state time-varying delays.

PloS one
This is the first time for studying the issue of finite-time H∞ synchronization control for the coronary artery chaos system (CACS) with input and state time-varying delays. Feedback control is planned for finite-time of synchronization CACS. By cons...

Distributed Adaptive Consensus of Nonlinear Heterogeneous Agents With Delayed and Sampled Neighbor Measurements.

IEEE transactions on cybernetics
In this article, the adaptive output consensus problem of high-order nonlinear heterogeneous agents is addressed using only delayed, sampled neighbor output measurements. A class of auxiliary variables is introduced which are n -times differentiable ...